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dc.contributor.author | Bottai, Carlo | es_ES |
dc.contributor.author | Crosato, Lisa | es_ES |
dc.contributor.author | Domenech, Josep | es_ES |
dc.contributor.author | Guerzoni, Marco | es_ES |
dc.contributor.author | Liberati, Caterina | es_ES |
dc.date.accessioned | 2024-01-10T13:32:50Z | |
dc.date.available | 2024-01-10T13:32:50Z | |
dc.date.issued | 2023-09-22 | |
dc.identifier.isbn | 9788413960869 | |
dc.identifier.uri | http://hdl.handle.net/10251/201713 | |
dc.description.abstract | [EN] Research in innovation usually builds on conventional data such as balance sheets, surveys, patents, or product catalogs. This paper intends to explore unconventional data, specifically web-scraped data, as an information source for innovation studies, proposing a careful procedure to establish the veracity of the linkage between web-based data and firm-level information retrieved from conventional sources. The study regards a sample of Italian manufacturing small and medium enterprises active in 2016, comprehending both innovative and non-innovative firms. It is based on HTML tags, whilst most of the previous literature worked on the web-pages text and related semantics. Our paper provides evidence that the way HTML language is applied to build a corporate website unveils the capabilities of the owner firm, helping to distinguish innovative from non-innovative SMEs. | es_ES |
dc.description.sponsorship | We thank the Italian Ministry of University and Research (MUR) for sponsoring this work under the ‘Departments of Excellence 2018-2022’ funding schema, and the DEMS Data Science Lab of the University of Milano–Bicocca for computational resources. Josep Domenech acknowledges that this research was partially funded by MCIN/AEI/10.13039/501100011033 under grant PID2019-107765RB-I00. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Innovation | es_ES |
dc.subject | SMEs | es_ES |
dc.subject | Unconventional data | es_ES |
dc.subject | HTML code | es_ES |
dc.subject | Web-scraping | es_ES |
dc.title | Can websites reveal a firm’s innovativeness? Empirical evidence on Italian manufacturing SMEs | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2023.2023.16466 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107765RB-I00/ES/HUELLA DIGITAL, COMPETITIVIDAD Y DEMOGRAFIA EMPRESARIAL/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials | es_ES |
dc.description.bibliographicCitation | Bottai, C.; Crosato, L.; Domenech, J.; Guerzoni, M.; Liberati, C. (2023). Can websites reveal a firm’s innovativeness? Empirical evidence on Italian manufacturing SMEs. Editorial Universitat Politècnica de València. 19-26. https://doi.org/10.4995/CARMA2023.2023.16466 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 28-30, 2023 | es_ES |
dc.relation.conferenceplace | Sevilla, España | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16466 | es_ES |
dc.description.upvformatpinicio | 19 | es_ES |
dc.description.upvformatpfin | 26 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\16466 | es_ES |
dc.contributor.funder | Ministero dell'Istruzione, dell'Università e della Ricerca | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |